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Computational Identification of Metabolic Pathways of Plasmodium falciparum using the k-Shortest Path Algorithm
2019
International Journal of Genomics
Plasmodium falciparum, a malaria pathogen, has shown substantial resistance to treatment coupled with poor response to some vaccines thereby requiring urgent, holistic, and broad approach to prevent this endemic disease. Understanding the biology of the malaria parasite has been identified as a vital approach to overcome the threat of malaria. This study is aimed at identifying essential proteins unique to malaria parasites using a reconstructed iPfa genome-scale metabolic model (GEM) of the
doi:10.1155/2019/1750291
pmid:31662957
pmcid:PMC6791207
fatcat:tzblwk2ljfaffhidfbjcixlboe